Free-breathing T1ρ dispersion imaging accurately predicted increased extracellular volume fraction (AUC 0.91), outperforming native T1 mapping (AUC 0.75).
Observational (n=70)
Does free-breathing T1ρ dispersion imaging accurately predict increased extracellular volume fraction in patients with suspected cardiomyopathies compared to contrast-enhanced techniques?
Free-breathing T1ρ dispersion imaging (FB-MultiMap) provides a non-contrast alternative for diagnosing diffuse myocardial fibrosis, showing high accuracy and correlation with ECV.
Effect estimate: AUC 0.91
BACKGROUND: Myocardial fibrosis is a common feature in various cardiac diseases. It causes adverse cardiac remodeling and is associated with poor clinical outcomes. Late gadolinium enhancement (LGE) and extracellular volume fraction (ECV) are the standard magnetic resonance imaging techniques for detecting focal and diffuse myocardial fibrosis. However, these contrast-enhanced techniques require the administration of gadolinium contrast agents, which is not applicable to patients with gadolinium contraindications. To eliminate the need for contrast agents, we developed and applied an endogenous free-breathing T1ρ dispersion imaging technique (FB-MultiMap) for diagnosing diffuse myocardial fibrosis in a cohort with suspected cardiomyopathies. METHODS: The proposed FB-MultiMap technique, enabling T2, T1ρ, and their difference (myocardial fibrosis index mFI) quantification in a single scan was developed in phantoms and 15 healthy subjects. In the clinical study, 55 patients with suspected cardiomyopathies were imaged using FB-MultiMap, conventional native T1 mapping, LGE, and ECV imaging. The accuracy of the endogenous parameters for predicting increased ECV was evaluated using receiver operating characteristic curve analysis. In addition, the correlation of native T1, T1ρ, and mFI with ECV was, respectively, assessed using Pearson correlation coefficients. RESULTS: FB-MultiMap showed a good agreement with conventional separate breath-hold mapping techniques in phantoms and healthy subjects. Considering all the patients, T1ρ was more accurate than mFI and native T1 for predicting increased ECV, with area under the curve (AUC) values of 0.91, 0.79, and 0.75, respectively, and showed a stronger correlation with ECV (correlation coefficient r: 0.72 vs 0.52 vs 0.40). In the subset of 47 patients with normal T2 values, the diagnostic performance of mFI was significantly strengthened (AUC = 0.90, r = 0.83), outperforming T1ρ and native T1. CONCLUSION: The proposed free-breathing T1ρ dispersion imaging technique enabling simultaneous quantification of T2, T1ρ, and mFI in a single scan has shown great potential for diagnosing diffuse myocardial fibrosis in patients with complex cardiomyopathies without contrast agents.
Miao et al. (Mon,) conducted a observational in Suspected cardiomyopathies (n=70). Free-breathing T1ρ dispersion imaging (FB-MultiMap) vs. Native T1 mapping, LGE, and ECV imaging was evaluated on Accuracy for predicting increased extracellular volume fraction (ECV) (AUC 0.91). Free-breathing T1ρ dispersion imaging accurately predicted increased extracellular volume fraction (AUC 0.91), outperforming native T1 mapping (AUC 0.75).